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Pricing Policy Effectiveness is Domestic Water Demand Management

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Variable<br />

Regression 1 Regression 2<br />

Residual<br />

Conclusion<br />

Dependent Independent Dependent Independent<br />

Coefficient<br />

1. AP AP Q_lag, P3, Dst, T,<br />

Q<br />

RES, PRE, T, Dabt,<br />

5.953<br />

Reject Ho.<br />

W, Dmo, Drt, L,<br />

Dmo, Dgbt, NR, L,<br />

(76.009)<br />

Conclude that<br />

Dabt, NR, Dgbt,<br />

Dst, Dait, W, Q_lag,<br />

simultaneity<br />

Dait<br />

Drt<br />

problem ex<strong>is</strong>ts.<br />

2. MP MP Q_lag, P3, Dst, T,<br />

Q RES, PRE, Dst, T,<br />

1.727<br />

Reject Ho.<br />

W, Dmo, Drt, L,<br />

Dmo, Dgbt, L, Dabt,<br />

(28.804)<br />

Conclude that<br />

Dabt, NR, Dgbt,<br />

NR, Dait, W, Q_lag,<br />

simultaneity<br />

Dait<br />

Drt<br />

problem ex<strong>is</strong>ts.<br />

3. DV DV Q_lag, P3, Dst, T,<br />

Q RES, PRE, Dst, T,<br />

-0.077<br />

Reject Ho.<br />

W, Dmo, Drt, L,<br />

Dabt, P2, Dmo, Dgbt,<br />

(- 30.451)<br />

Conclude that<br />

Dabt, NR, Dgbt,<br />

L, NR, W, Drt, Dait<br />

simultaneity<br />

Dait<br />

problem ex<strong>is</strong>ts.<br />

Details<br />

1. AP<br />

Regression 1 Residual Stat<strong>is</strong>tics<br />

Min Max Mean SD N<br />

PRE 11.7150 29.1553 17.9508 1.80555 2652<br />

RES -8.19803 8.07184 .00000 1.13266 2652<br />

Regression 2 Coefficients<br />

Predictors B SE t Sig.<br />

(Constant) -3.347 1.420 -2.357 .018<br />

T .101 .015 6.752 .000<br />

NR .205 .255 .803 .422<br />

Dmo -1.605 .365 -4.393 .000<br />

L .051 .007 7.005 .000<br />

W 6.39E-009 .000 .191 .848<br />

Dgbt 1.197 .378 3.166 .002<br />

Drt .003 .742 .003 .997<br />

Dst .617 .413 1.495 .135<br />

Dabt .503 1.086 .464 .643<br />

Dait .496 .414 1.199 .230<br />

Q_lag .791 .009 90.491 .000<br />

PRE .201 .071 2.841 .005<br />

RES 5.953 .078 76.009 .000<br />

2. MP<br />

Regression 1 Residuals Stat<strong>is</strong>tics<br />

Min Max Mean SD N<br />

PRE 13.8864 33.3924 22.1529 2.22821 2652<br />

RES -13.73344 6.95036 .00000 2.30573 2652<br />

Regression 2 Coefficients<br />

Predictors B SE t Sig.<br />

(Constant) -3.110 2.113 -1.472 .141<br />

22

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